Claude Code
for Product Managers

Hands down one of the best courses I've taken recently. The content is really well structured with a super easy-to-follow, step-by-step process that builds naturally. I came in with zero command-line experience and came out actually feeling confident using it day to day.
Definitely give this a try if you're a product manager looking to practically level up how you use Claude Code.

What impressed me the most is how quickly AI stops feeling like “just a chatbot” and starts becoming a real working environment.
And now I already have a million ideas on what I want to automate in my own workflow 😄 Some things already feel impossible to “unsee” after this course

During the course, we learned how to:
• understand a product codebase without writing a single line of code
• connect tracker and run standups, identify blockers, and prepare CEO reports with a single command
• write SQL queries without actually knowing SQL
• build PRDs with Claude
• vibe-code prototypes directly inside the product (without Replit!)
• create our own reusable AI skills for repetitive workflows

ProductDo once again, my sincere respect and thanks for the course!
When I joined, I felt overwhelmed by the sheer number of AI possibilities and didn't really understand how to apply them to myself or my product. Now I have practical skills and even some initial real-world results, which is really both encouraging and motivating!

A very interesting tool that helped me look at many things in a new way: going through Jira tickets, analyzing how the code works.
I really liked it and would recommend it to anyone who wants to get hands-on experience with Claude Code without sitting through hours of tedious theory.

No slides — just live practice.
Everything was great, as always — this is my 4th course with this school.
The main takeaway: Claude is not a replacement for thinking, but an amplifier. A precise prompt with a clear audience, metric, and constraints gives you a precise result. A vague prompt gives you a vague result.
The tools are integrated into a real working stack, so you are not learning how to “work with AI” in abstract. You are learning how to embed it into your team’s actual workflow.
One of the few courses after which you can immediately apply what you learned in practice.

This is not my first course with ProductDo, and once again this course helped put many things into a clear structure.
I had seen many ideas for how a product manager can use AI, but this was the first time I actually got to try them hands-on in a simulator.

Thank you for the course, I really enjoyed it. It worked great as a first introduction to vibe coding. A big plus is that the course is not dragged out — everything is quite intensive and straight to the point, with no fluff.
For me personally, the simulator was a good motivation to map out my next steps for learning more advanced tools. The final exam lesson was fun: I really liked the part with sending a push notification to your own phone.

I recommend the course. ProductDo courses are always simulations — with real Jira, Confluence, and so on. Yes, they actually go that far, huge respect for that. It is not just theory: you try everything hands-on and leave with an actual skill.

Useful use cases for product managers where an agent clearly beats a chat:

✅ Checking task statuses in a tracker
A huge time-saver: you are not going to copy-paste tasks into a chatbot every day. And if the agent can look at the codebase, not just Jira statuses, and compare the status with what has actually been implemented — that is incredibly valuable.
✅ Finding information in the knowledge base
Anyone who has worked with Confluence knows that finding something there is a quest of its own 🙂 Especially when you need to quickly gather all reasonably relevant information.
✅ Pulling data directly from the event database
Without going to analysts and without writing SQL. I am already using this, although I did not set it up myself. Any segment, any breakdown — in minutes. Pure joy.
That said, everything depends on the setup: whether the agent actually knows how to retrieve the right events correctly.
✅ Understanding the codebase
How does a specific feature work? What are the limitations?
For me personally, this is the most useful use case. Truly priceless. Because even with access to the code, figuring everything out on my own would be extremely difficult.
P.S. I am not including PRD creation here. That can be done with a regular chat as well. Although with all the context that an agent can pull in without copy-pasting, the document will obviously be faster to create and much richer.